Psychological flexibility in South Sudanese female refugees in Uganda as a mechanism for change within a guided self-help intervention.
Bibliographic record
Abstract
OBJECTIVE: To examine the role of psychological flexibility as a potential mediator in the relationship between involvement in a guided self-help intervention, Self-Help Plus, and psychological distress in a sample of South Sudanese refugee women living in northern Uganda. METHOD: We conducted secondary analysis of data from a cluster randomized controlled trial conducted in 2018. We used multilevel mediation modeling to explore the relationship of psychological flexibility, as measured by the Acceptance and Action Questionnaire (AAQ-II), as a mediating factor in the relationship between Self-Help Plus involvement and general psychological distress as measured by the Kessler Psychological Distress Scale-6 (K6). RESULTS: We found strong multilevel mediation of decreased K6 scores in the treatment group by AAQ-II scores (multilevel b = -3.28). A more pronounced mediation effect was discovered immediately post intervention (b = -1.09) compared to 3-month follow-up (b = -0.84). This is in line with the current literature that demonstrates the role of psychological flexibility as a primary mechanism of change in ACT-based interventions. CONCLUSIONS: Psychological flexibility is a contributing component in the theory of change for this ACT-based intervention. Identifying the core components of interventions allows for more effective adaptation and implementation of relevant services, especially in low-resource contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".